Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
video
video
14.9
145
label
class label
3 classes
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
0observation.images.rgb.head
End of preview. Expand in Data Studio

BEHAVIOR-1K EmbodiedAI Demos - Task 0

This dataset contains categorized demonstrations for Task 0 (turning on radio) from the BEHAVIOR-1K dataset.

Dataset Structure

The dataset is organized into two main categories:

success-demos/

  • 459 episodes of successful task completions
  • 912,371 frames total
  • Includes 200 episodes from original BEHAVIOR-1K demos (episodes 0-199)
  • Includes 259 episodes from collected runs (episodes 5000-5258)

failure-demos/

  • 533 episodes of failed task attempts
  • 2,291,900 frames total
  • Collected from various failure modes during data collection

Data Format

Each category follows the standard BEHAVIOR-1K structure:

<category>/
β”œβ”€β”€ data/
β”‚   └── task-0000/
β”‚       └── episode_*.parquet
β”œβ”€β”€ videos/
β”‚   └── task-0000/
β”‚       β”œβ”€β”€ observation.images.rgb.head/
β”‚       β”œβ”€β”€ observation.images.rgb.left_wrist/
β”‚       └── observation.images.rgb.right_wrist/
β”œβ”€β”€ meta/
β”‚   β”œβ”€β”€ info.json
β”‚   β”œβ”€β”€ episodes.jsonl
β”‚   └── tasks.jsonl
└── annotations/
    └── task-0000/

Meta Files

  • info.json: Overall dataset metadata (total episodes, frames, features, etc.)
  • episodes.jsonl: One JSON line per episode with episode_index, tasks, length, and metrics
  • tasks.jsonl: Task definitions (task_index, task_name, task description)

Usage

from datasets import load_dataset

# Load success demos
success_ds = load_dataset("Hoshipu/behavior-1k-embodiedAI-demos", data_dir="success-demos")

# Load failure demos
failure_ds = load_dataset("Hoshipu/behavior-1k-embodiedAI-demos", data_dir="failure-demos")

Dataset Statistics

  • Total Episodes: 992 (459 success + 533 failure)
  • Total Frames: 3,204,271
  • FPS: 30
  • Robot Type: R1Pro
  • Codebase Version: v2.1
  • Task: Turn on the radio receiver that's on the table in the living room

Video Streams

Each episode includes three RGB camera views:

  • observation.images.rgb.head: 720x720 head-mounted camera
  • observation.images.rgb.left_wrist: 480x480 left wrist camera
  • observation.images.rgb.right_wrist: 480x480 right wrist camera

Citation

If you use this dataset, please cite the original BEHAVIOR-1K paper:

@article{behavior1k2025,
  title={BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation},
  author={...},
  journal={...},
  year={2025}
}
Downloads last month
315